IDEAS home Printed from https://ideas.repec.org/a/dse/indecr/v39y2004i1p81-88.html
   My bibliography  Save this article

On Value Efficiency and Data Envelopment Analysis

Author

Listed:
  • Rolf Fare

    (Department of Economics, Oregon State University, Corvallis, Oregon 97331, USA)

  • Shawna Grosskopf

    (Department of Economics, Oregon State University, Corvallis, Oregon 97331, USA)

  • Gerald Whittaker

    (Agricultural Research Service, USDA, Corvallis, Oregon 97330, USA)

Abstract

This paper builds on earlier efforts to integrate preferences into a DEA model. Rather than including an explicit utility function as a constraint to a DEA problem as in F äre et al. (2002), here we use the notion of dominance to identify a ’¡Ærevealed’¡Ç indifference curve, which is then included in the DEA model. This allows us to identify what Halme et al. (1999) call the most preferred solution (MPS) as part of the solution to our modified DEA problem. This in turn allows us to decompose what they would call value efficiency into a technical and preference related component.

Suggested Citation

  • Rolf Fare & Shawna Grosskopf & Gerald Whittaker, 2004. "On Value Efficiency and Data Envelopment Analysis," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 39(1), pages 81-88, January.
  • Handle: RePEc:dse:indecr:v:39:y:2004:i:1:p:81-88
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Whittaker, Gerald & Confesor Jr., Remegio & Griffith, Stephen M. & Färe, Rolf & Grosskopf, Shawna & Steiner, Jeffrey J. & Mueller-Warrant, George W. & Banowetz, Gary M., 2009. "A hybrid genetic algorithm for multiobjective problems with activity analysis-based local search," European Journal of Operational Research, Elsevier, vol. 193(1), pages 195-203, February.

    More about this item

    Keywords

    Value Efficiency; DEA;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:dse:indecr:v:39:y:2004:i:1:p:81-88. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Pami Dua (email available below). General contact details of provider: https://edirc.repec.org/data/deudein.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.